Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning

被引：0
|
作者：
Department of Electrical Engineering and Computer Science, University of Missouri, Columbia [1 ]
MO, United States
不详 [2 ]
MO, United States
机构：
来源：
Proc. Appl. Imagery Pattern. Recogn. Workshop | 2021年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
2021 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021
中图分类号：
学科分类号：
摘要：
Diagnosis - Modal analysis - Deep learning - Neurodegenerative diseases - Neurology - Signal analysis - Software testing
引用
收藏
相关论文
共 50 条
  • [31] Multi-modal body part segmentation of infants using deep learning
    Voss, Florian
    Brechmann, Noah
    Lyra, Simon
    Rixen, Joeran
    Leonhardt, Steffen
    Antink, Christoph Hoog
    [J]. BIOMEDICAL ENGINEERING ONLINE, 2023, 22 (01)
  • [32] Multi-modal data clustering using deep learning: A systematic review
    Raya, Sura
    Orabi, Mariam
    Afyouni, Imad
    Al Aghbari, Zaher
    [J]. NEUROCOMPUTING, 2024, 607
  • [33] Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning
    Sharma, Pulkit
    Manandhar, Achut
    Thomson, Patrick
    Katuva, Jacob
    Hope, Robert
    Clifton, David A.
    [J]. SUSTAINABILITY, 2019, 11 (22)
  • [34] Deep reinforcement learning for financial trading using multi-modal features
    Avramelou, Loukia
    Nousi, Paraskevi
    Passalis, Nikolaos
    Tefas, Anastasios
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [35] Multi-modal Sentiment Analysis using Deep Canonical Correlation Analysis
    Sun, Zhongkai
    Sarma, Prathusha K.
    Sethares, William
    Bucy, Erik P.
    [J]. INTERSPEECH 2019, 2019, : 1323 - 1327
  • [36] Review on the usage of deep learning models in multi-modal sentiment analysis
    Naga Durga Saile K.
    Venkatramaphanikumar S.
    Venkata Krishna Kishore K.
    Bhattacharyya D.
    [J]. Venkatramaphanikumar, S. (svrphanikumar@yahoo.com), 1600, Institute of Electronics Engineers of Korea (09): : 435 - 444
  • [37] Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning
    Alyaev, Sergey
    Elsheikh, Ahmed H.
    [J]. EARTH AND SPACE SCIENCE, 2022, 9 (09)
  • [38] Multi-modal body part segmentation of infants using deep learning
    Florian Voss
    Noah Brechmann
    Simon Lyra
    Jöran Rixen
    Steffen Leonhardt
    Christoph Hoog Antink
    [J]. BioMedical Engineering OnLine, 22
  • [39] Multi-modal trajectory forecasting with Multi-scale Interactions and Multi-pseudo-target Supervision
    Zhao, Cong
    Song, Andi
    Zeng, Zimu
    Ji, Yuxiong
    Du, Yuchuan
    [J]. KNOWLEDGE-BASED SYSTEMS, 2024, 296
  • [40] Multi-Modal Song Mood Detection with Deep Learning
    Pyrovolakis, Konstantinos
    Tzouveli, Paraskevi
    Stamou, Giorgos
    [J]. SENSORS, 2022, 22 (03)
12345